Multimodal Dataset for Assessment of Quality of Experience in Immersive Multimedia

This paper presents a novel multimodal dataset for the analysis of Quality of Experience (QoE) in emerging immersive multimedia technologies. In particular, the perceived Sense of Presence (SoP) induced by one-minute long video stimuli is explored with respect to content, quality, resolution and sound reproduction, and annotated with subjective scores. Furthermore, a complementary analysis of the acquired physiological signals, such as Electroencephalography (EEG), Electrocardiography (ECG), and respiration is carried out, aiming at an alternative evaluation of human experience while consuming immersive multimedia. Presented results conrm the value of the introduced dataset and its consistency for the purposes of QoE assessment for immersive multimedia. More specically, subjective ratings demonstrate that the created dataset enables distinction between low and high levels of immersiveness, which is also conrmed by a preliminary analysis of recorded physiological signals.